Science Behind Skillkeep
Evidence-Based Learning, Built In
The Cognitive Science and Educational Research Underpinning Skillkeep
0.5
Effect Size
Testing vs Restudy
16.5%
Retention Boost
Adaptive Scheduling
0.69
Effect Size
Self-Regulated Learning
5
Research Pillars
Evidence-Based
Five Pillars of Evidence-Based Learning
01
Memory Retention via Retrieval Practice (the “testing effect”)
What the Research Says
A large meta-analysis found a reliable advantage of testing over restudying, with an overall mean effect around g ≈ 0.50 (testing vs. restudy). (The positive value of 0.50 indicates that the testing condition had a reliably better outcome (a “reliable advantage”) compared to the restudying condition.)
A widely cited review rates practice testing as one of the highest-utility learning techniques across ages and many educational contexts. (whz.de)
How This Maps to Skillkeep
Skillkeep’s core promise is retention/recall. Retrieval practice is the most direct mechanism for that: flashcards, quizzes, and “review sessions” operationalize retrieval practice (vs. passive rereading).
When Skillkeep measures performance and adapts review based on success/failure, that aligns with what the testing-effect literature shows matters: repeated retrieval + feedback improves durable learning.
How This Maps to Skillkeep
Skillkeep explicitly includes an “engine that automatically selects the topics you need to review today”. That is essentially “spacing as a service”: it removes the scheduling burden that students typically fail at.
Your positioning (“system for retention and recall… chooses what gets reviewed and when”) is directly aligned with the strongest consensus in learning science: spacing + retrieval beats cramming + rereading. (PubMed)
02
Spaced repetition
What the Research Says
A classic meta-analysis synthesized hundreds of experiments and confirmed the distributed practice effect (spacing improves later recall vs. massing). (PubMed)
Reviews aimed at instruction emphasize that spaced repetition is broadly effective and feasible for education. (SAGE Journals)
Dunlosky et al. again rates distributed practice as “high utility” for real learning gains. (whz.de)
Personalization and Adaptive Scheduling
What the Research Says
A classroom-integrated study in a middle-school language course found that personalized, model-based review scheduling produced a 16.5% retention boost over typical (more massed) practice, and improved over a generic spaced schedule too. (University of Colorado Boulder)
Foundational work also demonstrates that cognitive models can be used to compute more optimal practice schedules than one-size-fits-all spacing. (PubMed)
How This Maps to Skillkeep
Skillkeep’s “measures your progress and retention and adapts to your learning performance” claim maps cleanly to this research: adaptive scheduling is a stronger claim than “we do spaced repetition”—it’s “we do your spacing, for your forgetting.” (University of Colorado Boulder)
This is a key “best-of-breed” argument: many tools stop at generic spacing intervals; the literature supports measurable gains from personalized scheduling. (University of Colorado Boulder)
How This Maps to Skillkeep
The “what should I do today?” problem is executive function in disguise. Skillkeep’s daily
selection + history/record keeping + analytics are scaffolds for planning and
monitoring, which are core SRL behaviours. (ERIC)
Notifications and summaries to parents/teachers add external structure/accountability often crucial for Years 5–13 learners whose self-regulation is still developing.
Executive function and self-regulated learning (planning, consistency, follow-through)
What the Research Says
A meta-analysis of school-based interventions to foster self-regulated learning reported an average effect size around 0.69 on outcomes. (ERIC) This means that students who received the self-regulated learning (SRL) interventions performed, on average, significantly better on academic outcomes compared to the students in the control (comparison) groups. In the context of educational interventions, an effect size this high is quite powerful and suggests a highly effective practice.
In practice, SRL improvements usually come from scaffolds that help learners plan, monitor, and adjust learning over time (not just “try harder”). (ERIC)
Personalization and Adaptive Scheduling
What the Research Says
A highly cited review argues that feedback can be a powerful influence on learning, depending on how it’s delivered and what it targets. (SAGE Journals)
How This Maps to Skillkeep
Skillkeep’s “extensive reporting mechanisms… progress, retention statistics, and areas of focus” plus adaptive review selection map to effective feedback loops: data targeted action reassessment. (conselhopedagogico.tecnico.ulisboa.pt)